Ensuring AI Agent Context Integrity

说明与用途

确保 AI 代理上下文完整性：通过评估新鲜度、可追溯性和一致性，并使用 Ed25519 签名，提供离线可验证的决策依据。

问题

AI agents often act on stale, unattributable, or incoherent context, leading to unreliable decisions and lack of auditability.

结果

Agents now operate on verified, up-to-date, and coherent context, reducing hallucinations and enabling audit trails.

工作流

• 1. Retrieve context chunks for a query.
• 2. Pass chunks to the evaluation engine.
• 3. Engine scores each chunk on freshness, attribution, and coherence using a decay-adjusted model.
• 4. Engine signs the verdict with an Ed25519 key and records it in a ledger.
• 5. The agent uses only context chunks that pass the integrity checks.
• 6. Users can verify the signed verdict offline without external dependencies.

证据

Every evaluation is written to a ledger and signed with an Ed25519 key. Anyone can take a verdict and verify it offline: no account, no API key, no call back to my server.

来源

Built and running today: the evaluation engine that scores freshness, attribution, and coherence with a decay-adjusted model; signed, ledger-backed, offline-verifiable verdicts; an interface over the Model Context Protocol; and a hosted endpoint with a live before-and-after demo.

来源